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The DC motor has been commonly utilized in the industry although its maintenance is costly, more than the induction motor. Consequently, speed control of DC motor has attracted considerable researches and different algorithms have evolved. All the traditional algorithms for the Proportional Integral Derivative (PID) controller provide initial practical values for (kp, ki, and kd) PID parameters, which are manually tuned to achieving the desired performance. The manual tuning is inaccurate and a hard job, which requests comprehensive experience of the problem domain. in this paper we proposed a new method to adjustment of the PID parameters to improve tracking performance of DC motor, also provides optimal stability through creating a hybrid PID-CSA predictive model for tuning parameters of the PID controller of DC motors based on Crow search algorithm. The empirical results are compared with four type of proposed PID-CSA versions [ Integral Squared Error (ISE), Integral Absolute Error (IAE), Integral Time Absolute Error (ITAE), and Integral Time Squared Error (ITSE) ] that based on the type of error indicator functions and with other previously techniques including the Ziegler-Nichols method and PSO Optimization. The PID-CSA is more adapt in improving the steady-state error, the controller step response stability, overshoot, the rising time and settling time this give rise. The performance of the DC motor is not affected by these disturbances.

<p>Power distribution network in Iraq still suffers from significant problems regarding electricity distribution level. The most important problem is the disturbances that are occurring on lines voltages, which in turn, will negatively affect sensitive loads they feed on. Protection of these loads could be achieved efficiently and economically using the dynamic voltage restorer DVR when installed between the voltage source and load to inject required compensation voltage to the network during the disturbances period. The DVR mitigates these disturbances via restoring the load voltage to a pre-fault value within a few milliseconds. To control the DVR work, dq0 transformation concept and PID method with sinusoidal pulse-width modulation SPWM based converter had been used to correct the disturbances and thus enhance the power quality of the distribution network. The DVR performance was tested by MATLAB/Simulink with all kinds of expected voltage disturbances and results investigated the effectiveness of the proposed method.</p>

This Paper presents the design of decentralized automatic generation controller for an interconnected power system using PID, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The designed controllers are tested on identical two-area interconnected power systems consisting of thermal power plants. The area interconnections between two areas are considered as (i) AC tie-line only (ii) Asynchronous tie-line. The dynamic response analysis is carried out for 1% load perturbation. The performance of the intelligent controllers based on GA and PSO has been compared with the conventional PID controller. The investigations of the system dynamic responses reveal that PSO has the better dynamic response result as compared with PID and GA controller for both type of area interconnection.Electronic supplementary materialThe online version of this article (doi:10.1186/2193-1801-3-744) contains supplementary material, which is available to authorized users.

The rising of single-phase distributed generators and imbalanced loads in the electrical power grid can cause the three phases voltage to unbalance, causing in risen losses and overheating in motors. As a consequence of the growing usage of electronic equipment and non-linear load, the waveform of the voltage source of the electrical system is becoming distorted and variations appear among the phases. This work explores the negative impacts of imbalanced of 10 HP three phase induction motor squirrel-cage fed by three phase IGBT inverter at full load. The drive system has been designed and simulated by MATLAB/Simulink. The inverter switches are controlled by a pulse controller, which consists of two level pulse width modulation (PWM). The results represent the effects on the performance of the motor. The results of the Simulation show the negative impacts of imbalanced non-sinusoidal voltages which are higher than the case of balanced non-sinusoidal voltages. Also, the computation of voltage unbalance factor (VUF) depending on positive and negative sequence components are considered.